Matches in SemOpenAlex for { <https://semopenalex.org/work/W3169424599> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3169424599 endingPage "13" @default.
- W3169424599 startingPage "13" @default.
- W3169424599 abstract "Early detection of any disease assists in reduction of disease progression. In this work discrimination of the thyroid nodules is studied by employing deep learningarchitectures. Deep learning algorithm mimics the function of the human cerebral cortex. Convolutional Neural Network (CNN) is based on deep neural network design which has many hidden layers that are used to train a large dataset.When the number of hidden layers is increased, it has a greater impact on the accuracy. In this study, CNN is employed for assessing the severity of the disease. In CNN, the output of the input layer is fed the convolutional layer followed by ReLU layer and Max pooling layer and the images are classified into Benign (TIRADS 2, TI-RADS 3, TI-RADS 4a) and Malignant (TI-RADS 4b, TI-RADS 5, TIRADS 6).The performance of CNN is compared with the pre-trained networks such as Alex net, VGG-19 and Resnet-50 using transfer learning. The CNN outperformed the pretrained networks with an accuracy of 99.17%." @default.
- W3169424599 created "2021-06-22" @default.
- W3169424599 creator A5032504673 @default.
- W3169424599 creator A5045088329 @default.
- W3169424599 creator A5077293427 @default.
- W3169424599 date "2021-03-30" @default.
- W3169424599 modified "2023-09-26" @default.
- W3169424599 title "Thyroid Nodule Identification in Ultrasound Images using CNN" @default.
- W3169424599 hasPublicationYear "2021" @default.
- W3169424599 type Work @default.
- W3169424599 sameAs 3169424599 @default.
- W3169424599 citedByCount "0" @default.
- W3169424599 crossrefType "journal-article" @default.
- W3169424599 hasAuthorship W3169424599A5032504673 @default.
- W3169424599 hasAuthorship W3169424599A5045088329 @default.
- W3169424599 hasAuthorship W3169424599A5077293427 @default.
- W3169424599 hasConcept C108583219 @default.
- W3169424599 hasConcept C138885662 @default.
- W3169424599 hasConcept C150899416 @default.
- W3169424599 hasConcept C151730666 @default.
- W3169424599 hasConcept C153180895 @default.
- W3169424599 hasConcept C154945302 @default.
- W3169424599 hasConcept C178790620 @default.
- W3169424599 hasConcept C185592680 @default.
- W3169424599 hasConcept C2776401178 @default.
- W3169424599 hasConcept C2776731575 @default.
- W3169424599 hasConcept C2779227376 @default.
- W3169424599 hasConcept C2944601119 @default.
- W3169424599 hasConcept C41008148 @default.
- W3169424599 hasConcept C41895202 @default.
- W3169424599 hasConcept C70437156 @default.
- W3169424599 hasConcept C81363708 @default.
- W3169424599 hasConcept C86803240 @default.
- W3169424599 hasConceptScore W3169424599C108583219 @default.
- W3169424599 hasConceptScore W3169424599C138885662 @default.
- W3169424599 hasConceptScore W3169424599C150899416 @default.
- W3169424599 hasConceptScore W3169424599C151730666 @default.
- W3169424599 hasConceptScore W3169424599C153180895 @default.
- W3169424599 hasConceptScore W3169424599C154945302 @default.
- W3169424599 hasConceptScore W3169424599C178790620 @default.
- W3169424599 hasConceptScore W3169424599C185592680 @default.
- W3169424599 hasConceptScore W3169424599C2776401178 @default.
- W3169424599 hasConceptScore W3169424599C2776731575 @default.
- W3169424599 hasConceptScore W3169424599C2779227376 @default.
- W3169424599 hasConceptScore W3169424599C2944601119 @default.
- W3169424599 hasConceptScore W3169424599C41008148 @default.
- W3169424599 hasConceptScore W3169424599C41895202 @default.
- W3169424599 hasConceptScore W3169424599C70437156 @default.
- W3169424599 hasConceptScore W3169424599C81363708 @default.
- W3169424599 hasConceptScore W3169424599C86803240 @default.
- W3169424599 hasIssue "2" @default.
- W3169424599 hasLocation W31694245991 @default.
- W3169424599 hasOpenAccess W3169424599 @default.
- W3169424599 hasPrimaryLocation W31694245991 @default.
- W3169424599 hasRelatedWork W2492863677 @default.
- W3169424599 hasRelatedWork W2604463720 @default.
- W3169424599 hasRelatedWork W2744234669 @default.
- W3169424599 hasRelatedWork W2770008296 @default.
- W3169424599 hasRelatedWork W2791260913 @default.
- W3169424599 hasRelatedWork W2805320571 @default.
- W3169424599 hasRelatedWork W2806561548 @default.
- W3169424599 hasRelatedWork W2807286855 @default.
- W3169424599 hasRelatedWork W2899342928 @default.
- W3169424599 hasRelatedWork W2904059458 @default.
- W3169424599 hasRelatedWork W2939493007 @default.
- W3169424599 hasRelatedWork W2947426201 @default.
- W3169424599 hasRelatedWork W2982346956 @default.
- W3169424599 hasRelatedWork W3016536844 @default.
- W3169424599 hasRelatedWork W3042933670 @default.
- W3169424599 hasRelatedWork W3094224639 @default.
- W3169424599 hasRelatedWork W3112049361 @default.
- W3169424599 hasRelatedWork W3199059124 @default.
- W3169424599 hasRelatedWork W2829195235 @default.
- W3169424599 hasRelatedWork W2926747484 @default.
- W3169424599 hasVolume "1" @default.
- W3169424599 isParatext "false" @default.
- W3169424599 isRetracted "false" @default.
- W3169424599 magId "3169424599" @default.
- W3169424599 workType "article" @default.